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The purpose of this study is to empirically investigate the extent to which two types of commercial partnerships (business partner and non-business partner) affect the collaborative innovation of firms in emerging economies. Specifically, the roles of two commercial partnerships are investigated. Additionally, the study explores the moderating effect of external technological uncertainty and internal dynamic capabilities on the relationship between two commercial partnerships and on collaborative innovation.

Using a sample of 370 high-tech firms in China, the authors applied the partial least squares structural equation modeling approach to model these relationships.

The findings reveal opportunities and challenges for companies according to two intensities of commercial partnership for collaborative innovation. The partnership contribution to innovation and competiveness is different within the two routes and ranges. The findings indicate that (1) intense commercial relationships with business partners have a stronger positive significant impact on collaborative innovation than those with non-business partners and (2) non-business partners have a weaker positive impact on collaborative innovation at high external technological uncertainty. It was also found that (3) the positive impact of business partners on collaborative innovation is weakened when a firm has high dynamic capabilities, whereas the positive impact of non-business partners is strengthened.

Insight into the roles of two commercial partnerships in achieving collaborative innovation facilitates the advancement of the theoretical understanding of the circumstances under which cooperative innovation can be more effective under different partnerships.

A key strategic question is whether comprehensiveness enables firms to make better strategic decisions in various environments. In the process of innovation, companies must choose different types and quantities of partners, and they must regulate their partners’ innovative behavior by establishing a corresponding network structure and relationship rules. The current study focuses on analysis of how different intensities of commercial partnerships affect collaborative innovation. This research provides a theoretical framework that creates a new classification of commercial relations with regard to collaborative innovation, and it highlights the difference between the two types of partnerships. This study finds that there are many problems in the selection of innovative partners in China’s high-tech companies. Therefore, companies should strengthen their understanding of cooperative innovation, and they should build and manage highly efficient innovation networks. This study helps companies, high-tech industry associations, academia and government to take enhanced, informed actions.

This study aims to examine the adoption of peer-to-peer (P2P) lending platforms to determine the factors that encourage SMEs to use P2P lending platforms in obtaining loans.

A sample of ten SMEs from a variety of backgrounds was taken in Bandung, Indonesia. Bandung has been awarded the title of “creative city” by UNESCO, as the city allows for the development of the creative economy. This research used a semi-structured interview. Coding method was then used for content analysis to establish which factors emerging from the interview were leading respondents to obtain a loan through the P2P lending platform.

The findings imply that loan processes, interest rates, loan costs, loan amounts and loan flexibility affect SMEs in obtaining a loan through P2P lending. Moreover, alternative payment schemes in the form of Sharia-based lending and profit-sharing schemes were found. These findings constituted the original findings of this study.

The study offers findings on factors affecting SMEs in using the P2P lending platform as a form of alternative financing. Moreover, the theoretical framework provided can be used as literature in future research. As this study was conducted in Bandung, Indonesia, the findings may not be generalisable to other regions.

This study is one of the few studies that discusses P2P lending in Indonesia as the concept has been in practice only since 2015.

This paper, from the perspective of based view of dynamic system, aims to take the family enterprise as a sample to articulate how the speed of institutional change affects the entrepreneur’s spirit collocation of family enterprises and investigate the moderating effects of the scale of enterprises as well.

This paper uses survey database from Chinese research of private enterprise group in 2010 with the ninth national large-scale private entrepreneurs, and the legal source of data comes from research center for Chinese family firm of Sun Yat-Sen University. A total of 4,900 questionnaires are issued, 4,614 are recovered and the total recovery rate is 94.16 per cent. In this paper, STATA12.0 is used for data processing and basic regression testing. To overcome the possible existence of the different variance problem, the authors use the feasible generalized least squares to estimate the model.

The speed of institutional change will lead to the reduction of unproductive activities and the increase of productive activities in the area where the speed of institutional change is slow. Meanwhile, the scale of enterprise can reverse the negative relationship between the speed of institutional change and unproductive activities. The speed of institutional change will lead to the reduction of unproductive activities and the increase of productive activities in the area where the speed of institutional change is fast. Meanwhile, the scale of enterprises can reverse the positive relationship between the speed of institutional change and the unproductive activities.

It can be concluded that because of the difference of the regional market, a positive U-type reflects the relationship between the speed of institutional change and the entrepreneur’s allocation of entrepreneurship in family firms, whereas the scale of enterprises plays a key role of nonlinear regulation. This research has a certain theoretical value and practical significance on the understanding of how family firms make strategic decisions in response to institutional change and it can further enrich the research results of entrepreneurship allocation theory and institutional change theory.

The greening of the supply chain initiative, as implemented by world‐class ISO 14001 certified companies, has already demonstrated how much it contributes towards greening the industry of the region they operate in. The SMEs have been involved in such a green supply chain only to the extent of their participation as suppliers, distributors and in other capacities as business partners complementing the world‐class companies. All the same, in many regions, the environmental initiatives taken by the SMEs do conform to the different phases of the green supply chain. This study investigates if in the Philippine context this postulate is indeed true, and with the help of an empirical survey, establishes that the SME population in the Philippines do indeed carry out different phases of the green supply chain, though in a heterogeneous manner. This would be indeed expected given the heterogeneity in size and nature of business for SMEs in this region.

This study aims to investigate whether cloud-based accounting information system (AIS) usage contributes to AIS effectiveness, with firm size acting as a moderator. Furthermore, the role of AIS effectiveness as a mediator in the relationship between cloud-based AIS usage and organizational performance (OP) is further evaluated. In this context, the study is a bridge to show that small and medium-sized enterprises (SMEs) try to apply cloud accounting to improve profitability, thereby funding more social-environmental activities on the path to sustainability.

The study conducted an online survey of chief accountants in Vietnam’s SMEs. Data from 193 responses were gathered and analyzed using partial least squares structural equation modeling.

The findings show that cloud-based AIS usage considerably contributes to AIS effectiveness and OP and that AIS effectiveness has a beneficial influence on OP. Furthermore, the study shows that firm size moderates the relationship between cloud-based AIS usage and AIS effectiveness. Further findings show that cloud-based AIS usage influences OP via AIS effectiveness.

The findings of this study expand the existing body of knowledge on cloud-based AIS usage and benefit managers when formulating their business information models. In practice, SMEs need to increase the use of cloud-based AIS to better manage AIS. Enhancing profitability through cloud accounting also determines the ability to finance sustainability activities in SMEs.

One of the practical values of this study is the impact on Vietnam’s socioeconomic growth and sustainability. With cloud-based AIS, SMEs may enhance information and system quality, boost system usage frequency, gain satisfaction and increase performance. Furthermore, the comprehensiveness of AIS from cloud-based AIS usage is also a condition for SMEs to enhance accountability for social-environmental information in future sustainable reporting. These advantages improve the efficiency of strategic decision-making, hence increasing SMEs’ competitiveness and social-environmental performance. These benefits will work directly or indirectly toward fostering broader socioeconomic and environmental sustainability in developing economies.

To open a bright perspective of cloud-based AIS usage for AIS effectiveness as well as OP in SMEs toward sustainability in a developing economy, the authors conducted an exploratory study because this topic is quite new in these firms, especially in a developing economy such as Vietnam. These discoveries partly support SMEs to quickly achieve sustainable development goals in the future.

This paper aims to address the problem of optimal allocation of demand of items among candidate suppliers to maximize the purchase value of items. The purchase value of the items directly relates to cost and quality of raw materials purchased from the supplier. In an increasingly competitive environment, firms are paying more attention to selecting the right suppliers for procurement of raw materials and component parts for their products. The present research work focuses on this issue of supply chain management.

This present research work devises a hybrid algorithm for multi-period demand allocation among the suppliers. The customer demand is allocated by using a hybrid algorithm based on the technique for order preference by similarity to ideal solution (TOPSIS), fuzzy set theory and the mixed linear integer programming (MILP) approaches.

The supply chain network is witnessing a changing business environment due to government policies aimed at promoting new small manufacturing enterprises (small and medium-sized enterprises) for intermediate parts and components. Hence, the managers have an option to select a new group of suppliers and allocate the optimal multi-period demand among the new group of suppliers to maximize their purchase value. In this context, the proposed hybrid model would be beneficial for the managers to operate their supply chain effectively and efficiently. The present research work will be helpful for the managers who are interested to reconfigure their supply chain under the failure of any supply chain partner or in a changing business environment. The model provides flexibility to the managers for evaluation of the different available alternatives to take a decision of optimal demand allocation among the suppliers. The proposed hybrid (fuzzy, TOPSIS and MILP) model provides more objective information for supplier evaluation and demand allocation among suppliers in a supply chain. The managers can use the proposed model to the analysis of other management decision-making problems.

This present research work devises a hybrid algorithm for multi-period demand allocation among the suppliers. This hybrid algorithm prioritizes the suppliers and then allocates the multi-period demand among the suppliers. The customer demand is allocated by using a hybrid algorithm based on the technique for order preference by similarity to ideal solution (TOPSIS), fuzzy set theory and the mixed linear integer programming (MILP) approaches.

The purpose of this paper is to examine the impact of open innovation (OI) cooperation strategies on innovation outcomes of small- and medium-sized enterprises (SMEs), considering the mediating effect of firm age. The data come from six Spanish regions in the period 2009–2011. The authors analyse the impacts of two different types of innovation cooperation (with market and institutional agents) on four types of innovation outcomes: product, process, organisational and marketing.

The analytical method is based on logit regressions in order to assess the impact of OI variables on SMEs’ innovation outcomes. The regressions include a number of control variables related to the characteristics of the business, the entrepreneur and the environment.

The empirical results show that OI plays a significant role in explaining the innovation outcome of SMEs. Firm age is found to moderate this relationship. R&D cooperation with market agents exhibits the highest relationship to innovation, while the impact of institutional cooperation is comparatively lower.

There are few studies on OI addressing OI practices in SMEs. This research contributes to shedding light on the role of OI in innovation processes in SMEs. It also shows how this relationship changes depending on the partner, the type of innovation and the age of the firm.

Building a strong brand is an important way to build a competitive advantage in the marketplace. Brand-oriented companies regard their brands as strategic resources, and they create value and increase competitiveness by building a strong brand. However, studies on how companies become brand-oriented and how brand orientation influences brand performance are still rather limited. Therefore, the purpose of this paper is to propose a theoretical model explaining what factors contribute to brand orientation, as well as the impact of brand orientation.

Questionnaire surveys were distributed to branding companies in Taiwan. The sample data of 106 branding companies were collected in order to test the theoretical model using partial least squares (PLS).

The empirical results showed that organizational resources (product differentiation capability), organizational structure (cross-function departmental integration), and organizational culture (members' organizational identification and long-term remuneration criteria) could facilitate the building of brand-oriented companies. It was also found that a higher level of brand orientation contributed to better brand performance.

According to this research, corporate managers can understand how to build brand-oriented companies by shaping their organizational context. In other words, if companies want to become brand-oriented, they should build product differentiation capabilities, promote cross-functional integration among departments, and develop an organizational culture with high organizational members' identification and long-term remuneration criteria.

This paper is the first study to propose some antecedents of brand-oriented companies based on the organizational context perspective. The empirical results of this study illustrate how companies can become brand-oriented by arranging their organizational context, as well as the impact of brand orientation on brand performance.

This study aims to investigate the influence and impact mechanism of capital tax incentives on firm innovation.

This study employs the difference-in-differences (DID) method, in conjunction with the exogenous impact of accelerated depreciation (AD) pilot policy. This study selects Chinese listed companies from 2010 to 2017 as the research sample.

Firstly, AD exerts a substantial positive effect on the quantity and quality of the innovation output of firms, and the positive impact results primarily from heightened investment in fixed assets, particularly, machinery and equipment. Secondly, the influence of the policy is pronounced in non-state-owned enterprises, mature enterprises, less capital-intensive enterprises and non-high-tech industries, which all exhibit strong innovation incentives. Lastly, the tax incentive policy significantly stimulates firm innovation in the short term, but its long-term impact on innovation incentives lacks statistical significance.

This study highlights the significance of capital tax incentives in facilitating the innovation process in firms.

Smart manufacturing is revolutionizing the manufacturing industry by shifting the focus from traditional manufacturing to a more intelligent, interconnected and responsive system. Despite being the backbone of the economy and despite the government’s efforts in supporting and encouraging the transformation to smart manufacturing, small and medium enterprises (SMEs) have been struggling to transform their operations. This study aims to identify the challenges for SMEs’ transformation and the benefits they can get from this transformation, following a systematic review of existing literature.

A systematic review of existing literature has been performed to identify the peer-reviewed journal articles that focus on smart manufacturing for SMEs. First, a comprehensive list of keywords relevant to the review questions are identified. Second, Scopus and Web of Science databases were then used to search for articles, applying filters for English language and peer-reviewed status. Third, after manually assessing abstracts for relevance, 175 articles are considered for further review and analysis.

The benefits and challenges of SMEs’ transformation to smart manufacturing are identified. The identified challenges are categorized using the Smart Industry Readiness Index (SIRI) framework. Further, to address the identified challenges and initiate the SME’s transition toward smart manufacturing, a framework has been proposed that shows how SMEs can start their transition with minimum investment and existing resources.

Several studies have concentrated on understanding how smart manufacturing enhances sustainability, productivity and preventive maintenance. However, there is a lack of studies comprehensively analyzing the challenges for smart manufacturing adoption for SMEs. The originality of this study lies in identifying the challenges and benefits of smart manufacturing transformation and proposing a framework as a roadmap for SMEs' smart manufacturing adoption.